Vindler Solutions Verified Company

Vindler Solutions is an AI engineering studio that takes systems from first audit to production. Most of what we are asked to fix is not the model itself but everything around it: retrieval that returns the wrong three documents, an agent graph with no state boundaries, a voice pipeline carrying latency in the wrong place, and no evaluation loop to tell anyone which change actually made things better.

Three areas carry most of our work. RAG systems, where quality comes from chunking strategy, retrieval evaluation, and knowing when the honest answer is that the corpus does not contain one. Multi-agent architectures on LangChain and LangGraph, where the real design question is which decisions belong to a model and which belong to ordinary deterministic code. Voice AI on LiveKit, Deepgram and Cartesia, where the whole product gets judged on interruption handling and turn latency. We do the unglamorous half too: AWS architecture on Bedrock, Lambda, SageMaker and OpenSearch, tracing and evaluation with Langfuse and Arize, cost work that keeps a deployment inside its budget, and training that leaves your engineers able to maintain what we built.

Every engineer here has 10+ years behind them. We use AI tooling heavily and read every line it produces, because whoever gets paged at 3am has to understand the system, and a code generator does not take that shift. Clients get tested code, written documentation, and a proper handover rather than a demo that worked once. Delivered results include a 60% cut in the time sales teams spent hunting for information across 50+ locations, 80% of inbound product demos handled autonomously, a 10x faster content production cycle for an education platform, and 75% of customer service resolved without a human. We work in gaming and sports betting, fintech, e-commerce, edtech, healthcare, and enterprise.